Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-27
Imagga
created on 2022-01-23
architecture | 59.6 | |
| ||
building | 54.2 | |
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city | 41.6 | |
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palace | 38.7 | |
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house | 31.2 | |
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old | 25.8 | |
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residence | 25.4 | |
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structure | 25 | |
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travel | 24.7 | |
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town | 23.2 | |
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sky | 22.6 | |
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landmark | 20.8 | |
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tourism | 20.6 | |
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office | 19.9 | |
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cityscape | 18 | |
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buildings | 18 | |
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famous | 17.7 | |
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street | 17.5 | |
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facade | 16.6 | |
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tourist | 16.4 | |
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tower | 16.1 | |
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urban | 15.7 | |
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culture | 15.4 | |
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history | 14.3 | |
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ancient | 13.8 | |
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historic | 13.8 | |
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night | 13.3 | |
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dwelling | 13.2 | |
| ||
exterior | 12.9 | |
| ||
stone | 12.7 | |
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temple | 12.5 | |
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river | 12.5 | |
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monument | 12.2 | |
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university | 11.9 | |
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roof | 11.8 | |
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capital | 11.4 | |
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brick | 11.3 | |
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hall | 11.2 | |
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square | 10.9 | |
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construction | 10.3 | |
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center | 10 | |
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landscape | 9.7 | |
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windows | 9.6 | |
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window | 9.5 | |
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public house | 9.1 | |
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dome | 9 | |
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style | 8.9 | |
| ||
cloud | 8.6 | |
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attraction | 8.6 | |
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skyline | 8.6 | |
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historical | 8.5 | |
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billboard | 8.5 | |
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destination | 8.4 | |
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lights | 8.4 | |
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business district | 8.1 | |
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wall | 8 | |
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bridge | 7.9 | |
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cities | 7.8 | |
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classical | 7.7 | |
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place | 7.5 | |
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housing | 7.4 | |
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vacation | 7.4 | |
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water | 7.3 | |
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castle | 7.2 | |
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religion | 7.2 | |
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skyscraper | 7.2 | |
|
Google
created on 2022-01-23
Building | 94.6 | |
| ||
Window | 94.3 | |
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House | 81.6 | |
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Rectangle | 78.6 | |
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Tints and shades | 77 | |
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Facade | 75.6 | |
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Font | 75.5 | |
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Snapshot | 74.3 | |
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Plant | 73.2 | |
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Monochrome | 67.8 | |
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Paper product | 66.3 | |
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History | 66 | |
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Stock photography | 64.6 | |
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Room | 63.4 | |
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Door | 60.6 | |
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Monochrome photography | 60 | |
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Mixed-use | 58.6 | |
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Illustration | 56.8 | |
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Urban design | 51.7 | |
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Square | 51 | |
|
Color Analysis
Categories
Imagga
streetview architecture | 99% | |
|
Captions
Microsoft
created on 2022-01-23
an old bus is parked on the side of a building | 56.1% | |
| ||
an old photo of a bus | 56% | |
| ||
a bus parked in front of a building | 54.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20220130/694,346,156,41/full/0/native.jpg)
HOUSMAN
![](https://ids.lib.harvard.edu/ids/iiif/20220130/304,271,41,23/full/0/native.jpg)
1-3
![](https://ids.lib.harvard.edu/ids/iiif/20220130/854,366,60,18/full/0/native.jpg)
OYSTER
![](https://ids.lib.harvard.edu/ids/iiif/20220130/664,342,29,15/full/0/native.jpg)
N.P.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/662,342,253,52/full/0/native.jpg)
N.P. HOUSMAN OYSTER CO.INC.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/189,285,259,59/full/0/native.jpg)
GEO.M.STILL.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/864,378,43,15/full/0/native.jpg)
CO.INC.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/198,273,718,127/full/0/native.jpg)
1-3
N.P.
HOUSMAN
OYSTER
CO. INC.
GEO.M.STILL.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/309,273,40,25/full/0/native.jpg)
1-3
![](https://ids.lib.harvard.edu/ids/iiif/20220130/668,342,33,19/full/0/native.jpg)
N.P.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/691,349,163,43/full/0/native.jpg)
HOUSMAN
![](https://ids.lib.harvard.edu/ids/iiif/20220130/867,370,49,17/full/0/native.jpg)
OYSTER
![](https://ids.lib.harvard.edu/ids/iiif/20220130/874,378,25,19/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/894,382,20,18/full/0/native.jpg)
INC.
![](https://ids.lib.harvard.edu/ids/iiif/20220130/198,292,248,52/full/0/native.jpg)
GEO.M.STILL.